Forecasting tourist counts with historical counts and external features
Xinyi Wang (TU Delft - Civil Engineering & Geosciences)
D.C. Duives – Mentor (Transport and Planning)
P.K. Krishnakumari – Graduation committee member (Transport and Planning)
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Abstract
This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes.